/**
 * HiveMindInit - Hive Mind initialization mode
 * Sets up collective intelligence with Queen-Worker coordination
 */

import { IInitMode, InitConfig, InitResult } from '../types/interfaces.js';

export class HiveMindInit implements IInitMode {
  getDescription(): string {
    return 'Hive Mind initialization with collective intelligence, Queen-Worker coordination, and adaptive learning';
  }

  getRequiredComponents(): string[] {
    return ['ConfigManager', 'DatabaseManager', 'TopologyManager', 'AgentRegistry', 'HiveMindCore', 'ConsensusEngine'];
  }

  validate(): boolean {
    return true; // Hive Mind mode is always valid
  }

  async initialize(config: InitConfig): Promise<InitResult> {
    const components: string[] = [];

    try {
      // Basic initialization
      if (config.configManager) {
        components.push('ConfigManager');
      }

      if (config.databaseManager) {
        await config.databaseManager.initialize();
        components.push('DatabaseManager');
      }

      // Use mesh topology for maximum connectivity in hive mind
      if (config.topologyManager) {
        await config.topologyManager.configure('mesh', []);
        components.push('TopologyManager');
      }

      if (config.agentRegistry) {
        await config.agentRegistry.initialize();
        components.push('AgentRegistry');
      }

      // Initialize consensus engine with proof-of-learning
      if (config.consensusEngine) {
        await config.consensusEngine.setAlgorithm('proof-of-learning');
        components.push('ConsensusEngine');
      }

      // Spawn Queen and specialized worker agents
      if (config.agentRegistry) {
        // Queen agent (strategic coordinator)
        await config.agentRegistry.spawn('coordinator', {
          capabilities: ['strategic-planning', 'objective-setting', 'delegation', 'adaptation'],
          metadata: {
            role: 'queen',
            authority: 'high',
            specialization: 'collective-intelligence'
          }
        });

        // Research workers
        for (let i = 0; i < 2; i++) {
          await config.agentRegistry.spawn('researcher', {
            capabilities: ['research', 'analysis', 'data-gathering', 'pattern-recognition'],
            metadata: {
              role: 'worker',
              specialization: 'research',
              pool: 'research-pool'
            }
          });
        }

        // Development workers
        for (let i = 0; i < 2; i++) {
          await config.agentRegistry.spawn('coder', {
            capabilities: ['programming', 'debugging', 'refactoring', 'architecture'],
            metadata: {
              role: 'worker',
              specialization: 'development',
              pool: 'development-pool'
            }
          });
        }

        // Testing workers
        await config.agentRegistry.spawn('tester', {
          capabilities: ['testing', 'quality-assurance', 'validation', 'performance-testing'],
          metadata: {
            role: 'worker',
            specialization: 'testing',
            pool: 'testing-pool'
          }
        });

        // Optimization workers
        await config.agentRegistry.spawn('optimizer', {
          capabilities: ['performance-optimization', 'resource-management', 'bottleneck-analysis'],
          metadata: {
            role: 'worker',
            specialization: 'optimization',
            pool: 'optimization-pool'
          }
        });

        components.push('HiveMindAgents');
      }

      // Initialize Hive Mind Core
      if (config.hiveMindCore) {
        await config.hiveMindCore.initialize();
        components.push('HiveMindCore');
      }

      // Set up collective intelligence memory structures
      if (config.databaseManager) {
        await config.databaseManager.store('hive-mind-config', {
          initialized: true,
          mode: 'hive-mind',
          queenEnabled: true,
          workerPools: ['research', 'development', 'testing', 'optimization'],
          consensusAlgorithm: 'proof-of-learning',
          adaptationRate: 0.1,
          timestamp: new Date().toISOString()
        }, 'hive-mind');

        // Initialize objective tracking
        await config.databaseManager.store('objectives', {
          active: [],
          completed: [],
          strategies: {}
        }, 'hive-mind');

        components.push('HiveMindMemory');
      }

      // Set up initial collective objective
      if (config.hiveMindCore) {
        const initialObjective = await config.hiveMindCore.setObjective({
          description: 'Establish collective intelligence coordination',
          goals: [
            { description: 'Optimize inter-agent communication', metric: 'latency', target: 100, weight: 0.3 },
            { description: 'Maximize task success rate', metric: 'success_rate', target: 0.95, weight: 0.4 },
            { description: 'Efficient resource utilization', metric: 'efficiency', target: 0.8, weight: 0.3 }
          ],
          constraints: [
            { type: 'resource', description: 'Maximum 8 concurrent agents', value: 8 },
            { type: 'time', description: 'Continuous operation', value: 'ongoing' }
          ],
          priority: 'high'
        });

        components.push('InitialObjective');
      }

      return {
        success: true,
        mode: 'hive-mind',
        components,
        topology: 'mesh',
        message: 'Hive Mind initialization completed successfully - Collective intelligence active',
        metadata: {
          queenEnabled: true,
          workerPools: 4,
          totalAgents: 7,
          consensusAlgorithm: 'proof-of-learning',
          collectiveIntelligence: true,
          adaptiveLearning: true
        }
      };

    } catch (error) {
      return {
        success: false,
        mode: 'hive-mind',
        components,
        error: error instanceof Error ? error.message : String(error),
        message: 'Hive Mind initialization failed'
      };
    }
  }
}